{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Gridrec\n",
    "\n",
    "Here is an example on how to use [TomoPy](http://tomopy.readthedocs.io/en/latest/) with the gridrec algorithm."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    }
   ],
   "source": [
    "%pylab inline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[Install](http://tomopy.readthedocs.io/en/latest/install.html) TomoPy then:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import tomopy"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[DXchange](http://dxchange.readthedocs.io) is installed with tomopy to provide support \n",
    "for tomographic data loading. Various data format from all major [synchrotron](http://dxchange.readthedocs.io/en/latest/source/demo.html) facilities are supported. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import dxchange"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "matplotlib provide plotting of the result in this notebook. [Paraview](http://www.paraview.org/) or other tools are available for more sophisticated 3D rendering."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "Set the path to the micro-CT data to reconstruct."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "fname = '../../tomopy/data/tooth.h5'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Select the sinogram range to reconstruct."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "start = 0\n",
    "end = 2"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This data set file format follows the [APS](http://www.aps.anl.gov) beamline [2-BM and 32-ID](https://www1.aps.anl.gov/Imaging) definition. Other file format readers are available at [DXchange](http://dxchange.readthedocs.io/en/latest/source/api/dxchange.exchange.html)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "proj, flat, dark, theta = dxchange.read_aps_32id(fname, sino=(start, end))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Plot the sinogram:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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3+/lEwMlkknc3bm9vT8lT+dZ6EOD9vstDQxTalp6Oab1zM+yhbRrxpM+oRxa1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\nAKqqquxxrqys5PPD6aW3Wi0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Z+OSl6qcace97ml7byPuKGwJvdy9XeVP9842BUX4RIEb3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\nIbQA9AUtaEELeofQAtAXtKAFLegdQv8/uLE+hPFr3f8AAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f965c53be10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(proj[:, 0, :], cmap='Greys_r')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If the angular information is not avaialable from the raw data you need to set the data collection angles. In this case theta is set as equally spaced between 0-180 degrees."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "theta = tomopy.angles(proj.shape[0])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Perform the flat-field correction of raw data: $$ \\frac{proj - dark} {flat - dark} $$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "proj = tomopy.normalize(proj, flat, dark)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Tomopy provides various methods to [find rotation center](http://tomopy.readthedocs.io/en/latest/api/tomopy.recon.rotation.html)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "rot_center = tomopy.find_center(proj, theta, init=290, ind=0, tol=0.5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Calculate $$ -log(proj) $$"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "proj = tomopy.minus_log(proj)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Reconstruction using Gridrec algorithm.Tomopy provides various [reconstruction](http://tomopy.readthedocs.io/en/latest/api/tomopy.recon.algorithm.html) methods including the one part of the [ASTRA toolbox](https://sourceforge.net/p/astra-toolbox/wiki/Home/)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "recon = tomopy.recon(proj, theta, center=rot_center, algorithm='gridrec')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Mask each reconstructed slice with a circle."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "recon = tomopy.circ_mask(recon, axis=0, ratio=0.95)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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MvF6vbxB6RMzVamVCGw5cJYeH+UdoI2mjPZp0BZUd96ZWq2k4HGo8HhsauJFk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w18Fzwh2Jg5uxGlgv4WSkYckJQHlBSUuhDGzEYIw9DUAxKP/y6DwUDNZtOcmt4U91quN0xAkIY3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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f965c53bd10>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(recon[0, :,:], cmap='Greys_r')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.11"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}
